Research Projects
Filters for Projects
Research Units
Development of a Control System for a Flight Simulator Platform
This project involves the development of a control system for a flight simulator platform. The system will retrieve real-time roll, pitch, and yaw data from X-Plane’s API and control two stepper motors and one DC motor accordingly.
A View from the South: exploring Southern Ocean mercury cycling and what it means for the UN Minamata Convention
In December 2021, Australia ratified the UN Minamata Convention on Mercury, joining more than 130 countries committed to protecting human health and the environment from toxic mercury pollution. Now, the global community has turned its attention to evaluating the effectiveness of the Convention. The Southern Ocean region is critical for evidence-based effectiveness evaluation, but atmosphere-ocean mercury cycling in this area is highly uncertain. Bringing together a team of French and Australian mercury science experts, this project will use a suite of models and observations to probe critical uncertainties in the Southern Ocean and bring new insights to global mercury cycling.
Atmospheric Photothermal Oxidation as a New Reaction in the Atmosphere
Atmospheric Photothermal Oxidation as a New Reaction in the Atmosphere
Tackling Atmospheric Chemistry Grand Challenges in the Southern Hemisphere
Tackling Atmospheric Chemistry Grand Challenges in the Southern Hemisphere
Travel to New Insights Into Gas Phase Atmospheric Chemistry meeting
Travel grant to speak at the New Insights Into Gas Phase Atmospheric Chemistry Gordon Research Conference
Clean Air & Urban Landscapes Hub
National Environmental Science Program Clean Air & Urban Landscapes Hub
Deepfake detection and biases
Deepfakes are computer-generated synthetic media in which a person in an existing image or video is manipulated to have another person's likeness. The public is generally poor at detecting deepfakes, performing only marginally better than chance (Somoray & Miller, 2023). A series of studies will expand on our previous work examining factors that influence deepfake detection as well as investigating the public's biases associated with deepfakes.
GenAI in the classroom
Our project will examine both the student and educator perspectives, aiming for high-impact outcomes: 1) Phase 1-2 will assess AI's impact on students’ learning and assessment, informing AI literacy frameworks, assessment reforms and development of OER guides for ethical and critical use of AI and 2) Phase 3 will focus on educator’s perspectives, guiding future professional development programs.